Deep learning with TensorFlow

Participants should plan to attend both days of this 2-day training course. Platinum and Training passes do not include access to tutorials on Wednesday.

The TensorFlow library contains computational graphs with automatic parallelization across resources, which is ideal architecture for implementing neural networks. Season Yang introduces TensorFlow's capabilities in Python, and you'll then get your hands dirty building machine learning algorithms piece by piece while using the Keras API provided by TensorFlow with several hands-on applications.

Create deep learning models for classification and regression using TensorFlow

Evaluate the benefits and disadvantages of using TensorFlow over other machine learning software

This training is for you because...

You're a software engineer or programmer with a background in Python, and you wish to develop an understanding of machine learning.

You have experience modeling or a background in data science, and you would like to learn TensorFlow and deep learning.

You're in a nontechnical role, and you'd like to more effectively communicate with the engineers and data scientists in your company about TensorFlow and neural networks.

Prerequisites:

Familiarity with the Python language, matrices, modeling, and statistics

Outline

Day 1

Introduction to TensorFlow

Iterative algorithms

Machine learning

Basic neural networks

Day 2

Deep neural networks

Variational autoencoders

Convolutional neural networks

Adversarial noise

DeepDream

Recurrent neural networks

About your instructor

Season Yang is an analytics fellow in McKinsey & Company’s risk practice. Previously, Season was a data scientist in residence at the Data Incubator, where he also contributes to curriculum development and instruction, and worked at NASA’s Goddard Space Flight Center, where he studied climate change models with data analysis. Season holds a double bachelor’s degree in applied mathematics and scientific computation and economics from UC Davis and a master’s in applied mathematics from Columbia, specializing in numerical computation.

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Get the Platinum pass or the Training pass to add this course to your package.

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Comments

Season Yang
|

2019-06-12 08:08 CST

You will need your laptop with you and the whole courses will be hand-on practice on your laptop. No prerequisites are required

Thomas Hainzl
| HEAD OF DIGITAL ENABLEMENT PLATFORMS

2019-06-12 08:05 CST

In order to attend the workshop do I have to take a laptop with me? Are there any HW/SW prerequisites?
Or will a computer be provided on site.

RAMANATHAN RAMAKRISHNAN
|

2019-05-29 09:02 CST

My vision is to develop an OS for AI which could emulate diverse human personalities in machines. How could I go about it? Do you support in any way?